EP 3582153 A1 20191218 - GENERATING HYBRID MODELS OF PHYSICAL SYSTEMS
Title (en)
GENERATING HYBRID MODELS OF PHYSICAL SYSTEMS
Title (de)
ERZEUGUNG VON HYBRIDEN MODELLEN VON PHYSIKALISCHEN SYSTEMEN
Title (fr)
GÉNÉRATION DE MODÈLES HYBRIDES DE SYSTÈMES PHYSIQUES
Publication
Application
Priority
US 201816009725 A 20180615
Abstract (en)
Systems and methods described receive a set of experimental data of connection points of an unknown component of a partially known physical system. The systems and methods set feasibility constraints for an untrained model of the unknown component and simulate the partially known system using the untrained model of the unknown component to generate simulated data at the connection points of the unknown component. Systems and methods then optimize the untrained model based on the feasibility constraints and a comparison of the simulated data and the experimental data to generate a trained model of the unknown component.
IPC 8 full level
G06N 20/00 (2019.01); G06N 3/02 (2006.01)
CPC (source: EP US)
G06F 30/20 (2020.01 - US); G06N 3/08 (2013.01 - US); G06N 20/00 (2018.12 - EP); G06F 2111/10 (2020.01 - US); G06F 2111/20 (2020.01 - US); G06N 3/02 (2013.01 - EP)
Citation (search report)
[I] ION MATEI ET AL: "The Case for a Hybrid Approach to Diagnosis: A Railway Switch Design Space Exploration View project The International Diagnostic Competition View project The Case for a Hybrid Approach to Diagnosis: A Railway Switch", 1 August 2015 (2015-08-01), XP055632016, Retrieved from the Internet <URL:https://www.researchgate.net/profile/Tomonori_Honda/publication/305731351_The_Case_for_a_Hybrid_Approach_to_Diagnosis_A_Railway_Switch/links/579e780e08ae802facbded77/The-Case-for-a-Hybrid-Approach-to-Diagnosis-A-Railway-Switch.pdf> [retrieved on 20191015]
Designated contracting state (EPC)
AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR
Designated extension state (EPC)
BA ME
DOCDB simple family (publication)
EP 3582153 A1 20191218; JP 2019220156 A 20191226; JP 7303665 B2 20230705; US 2019384871 A1 20191219
DOCDB simple family (application)
EP 19179160 A 20190607; JP 2019093842 A 20190517; US 201816009725 A 20180615